Software Engineer, Data
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
What this role actually needs.
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Responsibilities: - Work across our engineering organization and stakeholders from data science, growth, sales, marketing, and product to understand the data needs of the business and produce pipelines, data marts, and other solutions that enable better decision-making. - Design and maintain our foundational business tables in order to simplify analysis and reporting across the entire company, including AI usage metrics surfaced to executive stakeholders. - Use AI tools as a daily part of how you work, from LLM-assisted pipeline development and debugging to exploring our catalog through AI-powered discovery, and bring a curiosity for where this tooling is heading next. - Build and enforce a pattern language across our data stack, ensuring pipelines and tables are consistent, accurate, and well-understood. - Continue to improve the performance and reliability of our data warehouse. - Partner with data scientists, analytics engineers, and business stakeholders to translate ambiguous business questions into well-scoped data solutions. Requirements: - You have 3-8+ years of professional experience designing, creating, and maintaining scalable data pipelines, preferably in Airflow. - You've wrangled enough data to understand how often the complex systems that produce it can go wrong, and you build with that in mind. - You are proficient in at least one programming language (preferably Python) and are willing to pick up others as the work demands. - You are highly effective with SQL and understand how to write and tune complex queries. - You're genuinely curious about how AI is reshaping data engineering and you're actively experimenting, not just watching from the sidelines. Whether that's using LLMs to write and debug pipelines faster, thinking through how to model agent behavior as data, or exploring what smarter data discovery could look like, you bring enthusiasm for figuring it out. - You're passionate and thoughtful about building systems that enhance human understanding. Company context: Airtable builds collaborative software, AI-enhanced workflows, and enterprise platform tooling for modern operations teams.
Day-to-day expectations
Airtable lists these responsibilities for the Software Engineer, Data role.
- Work across our engineering organization and stakeholders from data science, growth, sales, marketing, and product to understand the data needs of the business and produce pipelines, data marts, and other solutions that enable better decision-making.
- Design and maintain our foundational business tables in order to simplify analysis and reporting across the entire company, including AI usage metrics surfaced to executive stakeholders.
- Use AI tools as a daily part of how you work, from LLM-assisted pipeline development and debugging to exploring our catalog through AI-powered discovery, and bring a curiosity for where this tooling is heading next.
- Build and enforce a pattern language across our data stack, ensuring pipelines and tables are consistent, accurate, and well-understood.
- Continue to improve the performance and reliability of our data warehouse.
- Partner with data scientists, analytics engineers, and business stakeholders to translate ambiguous business questions into well-scoped data solutions.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- You have 3-8+ years of professional experience designing, creating, and maintaining scalable data pipelines, preferably in Airflow.
- You've wrangled enough data to understand how often the complex systems that produce it can go wrong, and you build with that in mind.
- You are proficient in at least one programming language (preferably Python) and are willing to pick up others as the work demands.
- You are highly effective with SQL and understand how to write and tune complex queries.
- You're genuinely curious about how AI is reshaping data engineering and you're actively experimenting, not just watching from the sidelines. Whether that's using LLMs to write and debug pipelines faster, thinking through how to model agent behavior as data, or exploring what smarter data discovery could look like, you bring enthusiasm for figuring it out.
- You're passionate and thoughtful about building systems that enhance human understanding.
Why this listing is more than a copied job post.
Software Engineer, Data is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.
Compensation read
The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.
Work authorization read
Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to software engineer, data is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from job-boards.greenhouse.io, confirm the role is still active, then apply on the employer or ATS page.
Source: job-boards.greenhouse.io · Source ID: 8124953002 · Confidence: 91/100 · Last checked: May 7, 2026
How UpJobz verifies job sourcesContinue browsing tech jobs